kunhe

assemblyhands-toolkit

AssemblyHands Toolkit is a Python package that provides data loader, visualization, and evaluation tools for the AssemblyHands dataset (CVPR 2023).

multi_view_active_learning

Code for paper Rethinking the Data Annotation Process for Multi-view 3D Pose Estimation with Active Learning and Self-Training

awesome-hand-pose-estimation

Awesome work on hand pose estimation/tracking

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

CIFAR-10.1

Release of CIFAR-10.1, a new test set for CIFAR-10.

ImageNetV2

A new test set for ImageNet

gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

spl

Structured Prediction Helps 3D Human Motion Modelling - ICCV '19

Deep-Metric-Learning-Baselines

PyTorch Implementation for Deep Metric Learning Pipelines

FRL-Distributed-ML-Scaffold

Define an ML problem to train with Pytorch and to leverage Pytorch's functionality for multiprocessing and distributed compute.

3dhand

hand-graph-cnn

3D Hand Shape and Pose Estimation from a Single RGB Image

semantic-embeddings

Hierarchy-based Image Embeddings for Semantic Image Retrieval

Spherical_Regression

PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".

mcnExtraLayers

Extra layers and utilities for matconvnet

FastAP-metric-learning

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

deep-mihash

Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)

media-autobuild_suite

This Windows Batchscript helps setup a Mingw-w64 compiler environment for building ffmpeg and other media tools under Windows.

ffmpeg-libav-tutorial

FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more. Translations: 🇺🇸 🇨🇳 🇰🇷 🇪🇸 🇻🇳 🇧🇷

mcnPyTorch

Model converter (PyTorch -> MatConvNet)

pytorch-mcn

Convert models from MatConvNet to PyTorch

LearningToCompare_ZSL

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)

Caffe-ExcitationBP-RNNs

Excitation Backprop for RNNs

deep_metric_learning

Deep metric learning methods implemented in Chainer

mihash

Implementation of our ICCV 2017 paper: MIHash - Hashing with Mutual Information

hardnet

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

VAE-TensorFlow

Implementation of a Variational Auto-Encoder in TensorFlow

SHashingECC

Implementation of our ACM Multimedia 2014 paper titled "Supervised Hashing with Error Correcting Codes".

Caffe-ExcitationBP

Implementation of Excitation Backprop in Caffe